Modeling and Reasoning with Bayesian Networks\n\nThis book introduces the formal foundations and practical applications of Bayesian networks.\n\nAdnan Darwiche (Author)\n\n9781107678422, Cambridge University Press\n\nPaperback / softback, published 7 August 2014\n\n562 pages\n25.4 x 17.8 x 2.9 cm, 0.96 kg\n\n'[This] book will make an excellent textbook; it covers topics suitable for both undergraduate and graduate courses. It will also help practitioners get a firm grasp of the fundamentals of modeling and inference with BNs, as well as some recent advances.' ACM Computing Reviews\n\nThis book is a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive discussion of techniques for building Bayesian networks that model real-world situations, including techniques for synthesizing models from design, learning models from data, and debugging models using sensitivity analysis. It also treats exact and approximate inference]